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Contrast Adjustment Algorithm Using Weighting Approximation for Stereo Imaging

Title
Contrast Adjustment Algorithm Using Weighting Approximation for Stereo Imaging
Author
정제창
Keywords
stereo image; contrast enhancement; contrast adjustment; weighted approximation; singular value decomposition
Issue Date
2015-11
Publisher
IntelliSys Organizing Committee
Citation
IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference, Page. 1040-1044, Article Number: 7361271
Abstract
The proposed algorithm aims to enhance stereo images while preserving the important characteristics of the original image. The proposed stereoscopic image enhancement technique consists of four steps: singular value decomposition based on image analysis, image enhancement, noise reduction, and tone consistency. The method decomposes an image into its singular values, from which the luminance information can be obtained using singular value decomposition. A contrast adjustment is applied by changing the singular values with noise reduction. The proposed method then uses the weighting approximation to obtain identical luminance levels from the luminance inconsistencies in stereo images. In the final image composition process, the proposed algorithm combines the color and luminance components in order to preserve the color consistency. The experimental results show that the proposed algorithm achieves good subjective quality and preserves the image details. © 2015 IEEE.
URI
http://ieeexplore.ieee.org/document/7361271/http://hdl.handle.net/20.500.11754/28910
ISBN
978-146737606-8
DOI
10.1109/IntelliSys.2015.7361271
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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